This book provides an introduction, overview, and specific examples of computational fluid dynamics and their applications in the water, wastewater, and stormwater industry.
This book introduces readers to the fundamentals of simulating and analyzing built and natural environments using the Computational Fluid Dynamics (CFD) method. CFD offers a powerful tool for dealing with various scientific and engineering problems and is widely used in diverse industries. This book focuses on the most important aspects of applying CFD to the study of urban, buildings, and indoor and outdoor environments. Following the logical procedure used to prepare a CFD simulation, the book covers e.g. the governing equations, boundary conditions, numerical methods, modeling of different fluid flows, and various turbulence models. Furthermore, it demonstrates how CFD can be applied to solve a range of engineering problems, providing detailed hands-on exercises on air and water flow, heat transfer, and pollution dispersion problems that typically arise in the study of buildings and environments. The book also includes practical guidance on analyzing and reporting CFD results, as well as writing CFD reports/papers.
This book is the result of a careful selection of contributors in the field of CFD. It is divided into three sections according to the purpose and approaches used in the development of the contributions. The first section describes the "high-performance computing" (HPC) tools and their impact on CFD modeling. The second section is dedicated to "CFD models for local and large-scale industrial phenomena." Two types of approaches are basically contained here: one concerns the adaptation from global to local scale, - e.g., the applications of CFD to study the climate changes and the adaptations to local scale. The second approach, very challenging, is the multiscale analysis. The third section is devoted to "CFD in numerical modeling approach for experimental cases." Its chapters emphasize on the numerical approach of the mathematical models associated to few experimental (industrial) cases. Here, the impact and the importance of the mathematical modeling in CFD are focused on. It is expected that the collection of these chapters will enrich the state of the art in the CFD domain and its applications in a lot of fields. This collection proves that CFD is a highly interdisciplinary research area, which lies at the interface of physics, engineering, applied mathematics, and computer science.
Computational Fluid Dynamics (CFD) is the science of predicting fluid flow, heat transfer, mass transfer, phase change, chemical reaction, mechanical movement, stress or deformation of related solid structures, and related phenomena by solving the mathematical equations that govern these processes using a numerical algorithm on a computer. The results of CFD analyses are relevant in: conceptual studies of new designs, detailed product development, troubleshooting, and redesign. CFD analysis complements testing and experimentation, by reduces the total effort required in the experiment design and data acquisition.Advanced science and engineering, in many disciplines and across many industries, are driving the search for new sources of energy, more efficient products and processes, sustainability, and green engineering to meet demand and answer environmental concerns for generations to come. CFD models help us to optimize design and engineering concepts for energy-saving and energy-efficient technologies as well as for energy production.Environment modelling with computational fluid dynamics methods help us tackle our environmental flow problems in the most efficient and cost-effective way. The added insight and understanding gained from environment modelling gives us confidence in our design proposals, avoiding the added costs of over-sizing and over-specification, while reducing risk. CFD models are very useful in environmental assessments because measurements cannot be taken at all times and in all places with the intensity and focus needed to assess all environmental conditions. CFD models are thus needed to "fill in the gaps" as well as to extend the measurement data to characterize and evaluate an environmental problem or study. CFD models provide a means for representing a real system in an understandable way. They take many forms, beginning with "conceptual models" that explain the way a system works. Conceptual models help to identify the major influences on where a chemical is likely to be found in the environment, and as such, need to be developed to help target sources of data needed to assess an environmental problem. In many cases, we can build and analyze virtual models at a fraction of the time and cost of physical modelling. This allows us to investigate more options and "what if" scenarios than ever before. Moreover, flow modelling provides insights into our fluid flow problems that would be too costly or simply prohibitive by experimental techniques alone.Application of CFD techniques to real-world industrial and environmental problems has increased sharply in the last decade. With the rapid development of modern computational techniques and numerical solution methodologies over the last few decades, CFD has now been widely used in various industrial applications for investigating a vast range of industrial and environmental problems. The chapters in this book present new leading-edge research in the field.We thank the work and commitment of all of the authors who submitted chapters according to our requests and dealt with our numerous comments.
This new volume focuses on different aspects of composite systems that are associated with research and development, helping to bridge the gap between classical analysis and modern real-life applications. The chapters look at the experimental and theoretical aspects of composite materials, regarding preparation, processing, design, properties, and practical implications. It also presents recent advancements, research, and development prospects of advanced composite materials that provide new solutions for advanced technologies.
Provides practical examples on application of numerical methods in analysis of renewable energy processes Includes introduction to computational fluid dynamics (CFD) for practitioners Explores selected aspects of the methodology used in CFD simulations of renewable energy technologies Discusses tips and hints for efficient use of CFD codes functionalities Contains additional exercise devoted to geothermal systems
Thermofluid Modeling for Sustainable Energy Applications provides a collection of the most recent, cutting-edge developments in the application of fluid mechanics modeling to energy systems and energy efficient technology. Each chapter introduces relevant theories alongside detailed, real-life case studies that demonstrate the value of thermofluid modeling and simulation as an integral part of the engineering process. Research problems and modeling solutions across a range of energy efficiency scenarios are presented by experts, helping users build a sustainable engineering knowledge base. The text offers novel examples of the use of computation fluid dynamics in relation to hot topics, including passive air cooling and thermal storage. It is a valuable resource for academics, engineers, and students undertaking research in thermal engineering. - Includes contributions from experts in energy efficiency modeling across a range of engineering fields - Places thermofluid modeling and simulation at the center of engineering design and development, with theory supported by detailed, real-life case studies - Features hot topics in energy and sustainability engineering, including thermal storage and passive air cooling - Provides a valuable resource for academics, engineers, and students undertaking research in thermal engineering
COMPUTATIONAL FLUID DYNAMICS AND ENERGY MODELLING IN BUILDINGS A Comprehensive Overview of the Fundamentals of Heat and Mass Transport Simulation and Energy Performance in Buildings In the first part of Computational Fluid Dynamics and Energy Modelling in Buildings: Fundamentals and Applications, the author explains the fundamentals of fluid mechanics, thermodynamics, and heat transfer, with a specific focus on their application in buildings. This background knowledge sets the scene to further model heat and mass transport in buildings, with explanations of commonly applied simplifications and assumptions. In the second part, the author elaborates how the fundamentals explained in part 1 can be used to model energy flow in buildings, which is the basis of all commercial and educational building energy simulation tools. An innovative illustrative nodal network concept is introduced to help readers comprehend the basics of conservation laws in buildings. The application of numerical techniques to form dynamic simulation tools are then introduced. In general, understanding these techniques will help readers to identify and justify their choices when working with building energy simulation tools, rather than using default settings. Detailed airflow information in buildings cannot be obtained in building energy simulation techniques. Therefore, part three is focused on introducing computational fluid dynamics (CFD) as a detailed modelling technique for airflow in buildings. This part starts with an introduction to the fundamentals of the finite volume method used to solve the governing fluid equations and the related challenges and considerations are discussed. The last chapter of this part covers the solutions to some practical problems of airflow within and around buildings. The key aspect of Computational Fluid Dynamics and Energy Modelling in Buildings: Fundamentals and Applications is that it is tailored for audiences without extensive past experience of numerical methods. Undergraduate or graduate students in architecture, urban planning, geography, architectural engineering, and other engineering fields, along with building performance and simulation professionals, can use this book to gain additional clarity on the topics of building energy simulation and computational fluid dynamics.
Computational Fluid Dynamics (CFD) has been applied extensively to great benefit in the food processing sector. Its numerous applications include: predicting the gas flow pattern and particle histories, such as temperature, velocity, residence time, and impact position during spray drying; modeling of ovens to provide information about temperature and airflow pattern throughout the baking chamber to enhance heat transfer and in turn final product quality; designing hybrid heating ovens, such as microwave-infrared, infrared-electrical or microwave-electrical ovens for rapid baking; model the dynamics of gastrointestinal contents during digestion based on the motor response of the GI tract and the physicochemical properties of luminal contents; retort processing of canned solid and liquid foods for understanding and optimization of the heat transfer processes. This Brief will recapitulate the various applications of CFD modeling, discuss the recent developments in this field, and identify the strengths and weaknesses of CFD when applied in the food industry.
This book delves into various solution paradigms such as artificial neural network, support vector machine, wavelet transforms, evolutionary computing, swarm intelligence. During the last decade, novel solution technologies based on human and species intelligence have gained immense popularity due to their flexible and unconventional approach. New analytical tools are also being developed to handle big data processing and smart decision making. The idea behind compiling this work is to familiarize researchers, academicians, industry persons and students with various applications of intelligent techniques for producing sustainable, cost-effective and robust solutions of frequently encountered complex, real-world problems in engineering and science disciplines. The practical problems in smart grids, communication, waste management, elimination of harmful elements from nature, etc., are identified, and smart and optimal solutions are proposed.